We aim for mobile robots to function in a variety of common human environments. Such
robots need to be able to reason about the locations of previously unseen target objects …

There are many challenges for robot navigation in densely populated dynamic
environments. This paper presents a survey of the path planning methods for robot …

Visual Simultaneous Localization and Mapping (visual SLAM) has attracted more and more
researchers in recent decades and many state-of-the-art algorithms have been proposed …

In the unstructured family environment, robots are expected to provide various services to
improve the quality of human life, based on the performance of specific action sequences …

This letter presents a novel and integrated framework for Next-Best-View (NBV) selection
toward autonomous robotic exploration in indoor environments. A topological map, named …

Object Goal Navigation (ObjectNav) task is to navigate an agent to an object category in
unseen environments without a pre-built map. In this paper, we solve this task by predicting …

In realistic applications of object search, robots will need to locate target objects in complex
environments while coping with unreliable sensors, especially for small or hard-to-detect …

A core capability of robots is to reason about multiple objects under uncertainty. Partially
Observable Markov Decision Processes (POMDPs) provide a means of reasoning under …

Visual localization is a fundamental capability in robotics and has been well studied for
recent decades. Although many state-of-the-art algorithms have been proposed, great …

In this paper, a novel path planning algorithm with Reinforcement Learning is proposed
based on the topological map. The proposed algorithm has a two-level structure. At the first …